DESI Mock Challenge VII: halo and galaxy catalogs with the Bias Assignment Method

分类： 天文学 >> 天文学 提交时间： 2023-02-19

Andrés Balaguera-Antolínez Francisco-Shu Kitaura Shadab Alam Chia-Hsun Chuang Yu Yu Ginevra Favole Cheng Zhao David Brooks Axel de la Macorra Andreu Font-Ribera Satya Gontcho A Gontcho Klaus Honscheid Robert Kehoe Aron Meisner Ramon Miquel Gregory Tarlè Mariana Vargas-Magaña Zhimin Zhou

摘要： This work presents for the first time galaxy catalogues constructed based on halo distributions obtained with effective bias models at the field level. In particular, it relies on the Bias Assignment Method (BAM) and explores the accuracy in the summary statistics using different non-local dependencies in the halo bias. Moreover, improvements in the hierarchy of halo properties assignment are introduced, which are key to accurately applying halo occupation distribution (HOD) to construct emission-line galaxy catalogues, target for experiments such as the Dark Energy Spectroscopic Instrument (DESI). We introduce novel cosmic-web dependent corrections to the analytical velocity field, to model redshift space distortions at the N-body level -- both in the halo and galaxy distributions -- in the monopole, quadrupole, and hexadecapole up to $k\sim0.3\,h^{-1}{\rm Mpc}$. We demonstrate the high accuracy of the mocks in the one (abundance), two- (e.g. power spectrum), three- (e.g. bispectrum), four- (covariance matrices of two-point statistics), and six-point statistics (covariance matrices of three-point statistics), both in real and redshift space. BAM offers a robust way to produce fast and accurate halo distributions which can be used to generate a variety of multi-tracer catalogs with precise covariance matrices of several cosmological probes.

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